We have experience across a broad range of statistical applications, and we offer help with all aspects of data-based research.
Enroll in a statistics course today!
SCC Internal Consulting
Statistical Consulting Centre provides services to internal staff on a fee paying basis.
Melbourne Statistical Consulting Platform
Melbourne Statistical Consulting Platform is available to Graduate Researchers of The university of Melbourne across all disciplines.
Statistical consulting is the main focus of The Statistical Consulting Centre’s activities. Our team comes with considerable experience across all fields. Dealing with the complexities of data and solving problems in a robust and practical way, we have the experience, statistical understanding and drive to help our clients. Collaboration is the key to our success. Big or small data can be a challenge to navigate. Realise the significance it holds for today or the future.
Contact us today.
Here is a few examples we offer to our clients:
- questionnaire design and data collection methods
- study design, for experiments and surveys
- choice of sample size
- data management and verification
- analysis strategies
- modelling of data
- data mining and analytics
- interpretation of analyses and statistical reasoning
- communication of statistical findings, tailored to the audience
- quality graphical presentations
- critical review of quantitative research and reasoning
- statistical software
- expert witness needs
- statistics courses tailored to specific needs
Transport to The University of Melbourne
Trams are conveniently located on Swanston Street, the Centre encourages sustainable forms of transport.
The University of Melbourne is tram stop number 1 on Swanston Street or Royal Parade stops then walk down on Grattan Street to Barry Street. Opposite University Square park.
Covers the principles and practice of designing surveys, and the analysis of data from them.
5 - 7 February 20193 day course
This very popular course gives a basic understanding of statistical ideas and methods involved in carrying out research using R.
14 - 21 February 20196 day course
This course covers the principles and practice of designing experiments, and the analysis of data from them.
To be Scheduled4 Days course
Focuses on the statistical needs of physician trainees, and the topics covered in the FRACP examination.
To be scheduled1 day workshop
Do you need to produce graphs of your data, simply and effectively?
To be scheduled1 day Workshop
This very popular course gives a basic understanding of statistical ideas and methods involved in carrying out research using SPSS.
To be scheduled in 20196 Day Course
This course deals with the analysis of categorical data, with emphasis on binary outcomes and commonly used methods.
To be scheduled4 day course
Can't find the statistical course that suits you?Training
Provides students with detailed training in statistical methods as applied to the design and analysis of projects undertaken by postgraduate students, across all disciplines.Academic subject
Critical Thinking With Data is a first year University of Melbourne breadth subject that teaches students to become critical users of data-based evidence.ACADEMIC SUBJECT
To be scheduled in 2019.
The Melbourne Statistical Consulting Platform is delivering a free workshop that discusses the principles of producing graphs to enhance the quality of your thesis. Available to University of Melbourne RHD students and staff.MSCP free workshop
Expression of interest Course Feedback Course Enquiries SCC Facebook
We run fee-paying courses. Anyone can enrol in these courses, subject to satisfying pre-requisites. Participants In our courses come from the University and from business, industry and government. The course fees depend on the length of the course and the situation of the participant.
We also provide both general and specialist courses for individual organisations. They can be run at the University or in-house. If you are interested in such a course, contact the Director, Professor Ian Gordon , or telephone 8344 6995.
Meet the Statistical Consulting Centre team
- Professor Ian Gordon
Phone: 03 8344 6995
- Dr Sandy Clarke-Errey
Phone: 03 8344 6797
- Dr Sue Finch
Phone: 03 8344 6994
- Associate Professor
Phone: 03 8344 4796
- Steve Vander Hoorn
- Cameron Patrick
Phone: 03 8344 5295
- Dr Ken Sharpe
(03) 8344 6995
The Statistical Consulting Centre was formed in 1984 and has continued to build on its reputation across all disciplines. Our aim is to realise the potential and complexities of your data. We deal with real world issues in a practical, robust manner. We love statistics and have a wealth of knowledge to share, be it in our courses or one on one consulting.
Your data is important!
- To be a focus for the long-standing statistical consulting activities of the Department of Mathematics and Statistics;
- To promote the practice of appropriate and informative statistical methods;
- To be a stimulus to relevant teaching in the Department of Mathematics and Statistics;
- To provide research problems whose solutions are of immediate practical interest;
- To train advanced students;
- To increase the awareness of the utility of statistical expertise;
- To foster mutually beneficial contacts between the University and the wider community;
- To act as a focus for statistical consultancy within the University.
Sponsorship and support
The Statistical Consulting Centre supported this competition in 2011.
SCC has been judgeing this competition over many years supporting statistics in secondary schools.
Supporting young students studying statistics at university.
Critical thinking with data student travel grant in 2010.
Supporting the new breath subject in 2010.
Even though you may not have realized it, you probably have made some statistical statements in your everyday conversation or thinking. Statements like "I sleep for about eight hours per night on average" and "You are more likely to pass the exam if you start preparing earlier" are actually statistical in nature.
What is statistics?
Statistics is a discipline which is concerned with:
- designing experiments and other data collection,
- summarizing information to aid understanding,
- drawing conclusions from data, and
- estimating the present or predicting the future.
The two statements at the beginning illustrate some of these points.
In making predictions, Statistics uses the companion subject of Probability, which models chance mathematically and enables calculations of chance in complicated cases.
Today, statistics has become an important tool in the work of many academic disciplines such as medicine, psychology, education, sociology, engineering and physics, just to name a few. Statistics is also important in many aspects of society such as business, industry and government. Because of the increasing use of statistics in so many areas of our lives, it has become very desirable to understand and practise statistical thinking. This is important even if you do not use statistical methods directly.
- Professor Ian Gordon
Statistical Consulting Centre
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- Statistics for Research Workers using SPSS
- Design and Analysis of Surveys
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- Design and Analysis of Experiments
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- Analysis of Categorial Data
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